A color image binarization is presented in this paper. The iterative possibilistic c-means algorithm is adapted by adding a fuzzy entropy criterion to split the membership function in two clusters (background and object). Such an improvement allows to perform a threshold free color binarization. Experimental results show the promising aspect of our approach.
Citation:
Salvatore Tabbone, Laurent Wendling, "Binarization of Color Images from an Adaptation of Possibilistic C-Means Algorithm," icpr, vol. 1, pp.704-707, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004